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Favorite Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all
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Shared by Google AI Technology November 14, 2023
Favorite Today we’re sharing an AI Opportunity Agenda to provide concrete policy recommendations to help AI benefit as many people as possible. View Original Source (blog.google/technology/ai/) Here.
Favorite Today we’re taking legal action against two groups of scammers. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and mobile phones become more widely used for health-related data collection, so does the opportunity to leverage these data pathways to study and advance our understanding of medical conditions. We
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Favorite How Google Translate’s neural model taught it to understand bass from bass. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the
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Favorite Posted by Kevin Miao and Matt McEwen, Research Scientists, Quantum AI Team The qubits that make up Google quantum devices are delicate and noisy, so it’s necessary to incorporate error correction procedures that identify and account for qubit errors on the way to building a useful quantum computer. Two
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Favorite Generative AI in Search, or Search Generative Experience (SGE), is expanding around the world, and adding four new languages. View Original Source (blog.google/technology/ai/) Here.
Favorite Today, we’re announcing the Swedish recipients of Google.org Impact Challenge: Tech for Social Good – receiving technical support and 3 million Euros in funding for char… View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the foundation for most tasks
Read More Shared by Google AI Technology November 7, 2023